List Mailbox Aliases
list_mailbox_aliasesList all alias addresses that deliver into a mailbox. API: GET /api/emails/{address}/aliases.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Mailbox slug | |
| domain | Yes | Mailbox domain |
list_mailbox_aliasesList all alias addresses that deliver into a mailbox. API: GET /api/emails/{address}/aliases.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | Mailbox slug | |
| domain | Yes | Mailbox domain |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It only states the basic list operation and gives an API endpoint, but does not disclose potential side effects, required permissions, pagination behavior, or error conditions—significant gaps for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences, front-loaded with the core purpose, and includes the API endpoint as a useful technical reference. No wasted words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple and the schema fully documents parameters, but there is no output schema and no annotations. The description implies the return value (a list of alias addresses) but does not mention pagination, ordering, or potential error responses, leaving some contextual gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, with clear descriptions for both 'slug' and 'domain'. The description does not add meaning beyond the schema, so the baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the operation: 'List all alias addresses that deliver into a mailbox.' This uses a specific verb and resource, and distinguishes the tool from sibling tools like add_mailbox_alias and remove_mailbox_alias.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use the tool: when you need to see all aliases for a mailbox. It does not explicitly exclude alternatives or state when not to use it, but the context is clear and there are no competing list tools for mailbox aliases.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
While most tools have distinct purposes, several clusters overlap significantly (e.g., check_email, check_email_deliverability, get_email_deliverability, get_domain_email_status; buy_domain, buy_aftermarket, acquire_domain). The descriptions are detailed and help differentiate, but the sheer number of tools makes it challenging for an agent to select the correct one without careful reading.
The dominant pattern is verb_noun with underscores (e.g., create_mailbox, list_domains), but there are notable inconsistencies: destructive actions mix delete/remove/cancel/revoke/unsell, and a few names deviate entirely (search, dns_check, domain_status). The pattern is recognizable but not uniformly applied.
With 122 tools, this vastly exceeds the 50+ threshold for extreme mismatch. Even for a comprehensive domain and email platform, the tool count is overwhelming and will likely hinder agent performance through excessive choice and context bloat.
The server covers a wide range of domains, DNS, email, marketplace, negotiations, transfers, webhooks, tokens, and billing. Minor gaps exist, such as no update operation for mail rules, no direct domain deletion, and limited mailbox configuration beyond forwarding and credentials, but most lifecycle workflows are supported.